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  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. Multicriteria Evaluation in Real Estate Land-use Suitability Analysis: The case of Volos, Greece

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Panagiotis Dimitrios Tsachageas; [2024]
    Keywords : Geography; GIS; Real Estate; Multicriteria Evaluation; Fuzzy; AHP; Earth and Environmental Sciences;

    Abstract : The integration of Geographic Information Systems (GIS) into real estate analysis has long been considered an interesting interdisciplinary pursuit, but has yet to become mainstream. Despite the increasing academic focus over the last twenty years, this endeavour has mostly been approached from the scientific side of Geography. READ MORE

  4. 3. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Anastasia Sarelli; [2024]
    Keywords : Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Abstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE

  5. 4. The effect of the COVID-19 lockdown on the spatial ecology of moose in an area with high recreational activity

    University essay from SLU/Dept. of Wildlife, Fish and Environmental Studies

    Author : Maximilian Dörr; [2024]
    Keywords : Moose; Alces alces; habitat selection; tourism; human disturbance; activity; movement; speed; seasons; Covid-19; pandemic;

    Abstract : In diverse landscapes, the coexistence of wildlife habitat requirements and human land use often leads to conflicts, posing challenges for sustainable species management. Recreational activities, especially in sparsely populated areas, frequently disturb wildlife behavior, necessitating a comprehensive assessment of anthropogenic impacts on habitats. READ MORE

  6. 5. Can the disappearance of the forest orchid Goodyera repens be linked to clearcutting? : a spatial analysis using citizen science data from southern Sweden.

    University essay from SLU/Southern Swedish Forest Research Centre

    Author : Ines Diaz Garcia; [2024]
    Keywords : Goodyera repens; knärot; Artportalen; forestry; clearcut; citizen science; southern Sweden; conservation;

    Abstract : Habitat transformation through forestry has an impact on boreal species in northern Europe. In Sweden, even-aged plantations with clearcut harvesting are forestry practices that affect the understory vegetation. This study focuses on the red-listed Goodyera repens, a rhizomatous evergreen orchid. READ MORE